Deployment | Symbolic Mind

Seamless Enterprise Deployment

Flexible by design. Scalable by default. Fully under your control.

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Plug-in

Implementation and Integration Processes

Implementation

Define requirements and constraints
Describe API and UI / UX
Train the model

Integration

Connect the model to the data sources
Connect the model with the UI
Set RAG and any other rules/logic constraints

Training Process

(after the use case is approved)

1

Identify and acquire the right dataset for the use case

1

Identify and acquire the right dataset for the use case

1

Identify and acquire the right dataset for the use case

2

Data discovery & preprocessing (as needed)

2

Data discovery & preprocessing (as needed)

2

Data discovery & preprocessing (as needed)

3

Infrastructure setup

3

Infrastructure setup

3

Infrastructure setup

4

Training baseline models

4

Training baseline models

4

Training baseline models

5

Baseline model testing

5

Baseline model testing

5

Baseline model testing

6

Capture performance metrics

6

Capture performance metrics

6

Capture performance metrics

7

Optimization to generate the next version of models

7

Optimization to generate the next version of models

7

Optimization to generate the next version of models

8

Benchmarking

8

Benchmarking

8

Benchmarking

9

Final models

9

Final models

9

Final models

10

Evaluation, user training, documentation, and delivery.

10

Evaluation, user training, documentation, and delivery.

10

Evaluation, user training, documentation, and delivery.